Overview

Dataset statistics

Number of variables23
Number of observations23088
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 MiB
Average record size in memory293.8 B

Variable types

NUM20
CAT2
DATE1

Warnings

Code provincia alpha has a high cardinality: 52 distinct values High cardinality
value__ratio_population__viajes__std is highly correlated with value__ratio_population__viajes__max and 1 other fieldsHigh correlation
value__ratio_population__viajes__max is highly correlated with value__ratio_population__viajes__stdHigh correlation
value__ratio_population__viajes__mean is highly correlated with value__ratio_population__viajes__stdHigh correlation
value__ratio_population__viajes_km__mean is highly correlated with value__ratio_population__viajes_km__max and 2 other fieldsHigh correlation
value__ratio_population__viajes_km__max is highly correlated with value__ratio_population__viajes_km__mean and 1 other fieldsHigh correlation
value__ratio_population__viajes_km__min is highly correlated with value__ratio_population__viajes_km__meanHigh correlation
value__ratio_population__viajes_km__std is highly correlated with value__ratio_population__viajes_km__max and 1 other fieldsHigh correlation
value__viajes__sum is highly correlated with value__viajes__max and 1 other fieldsHigh correlation
value__viajes__max is highly correlated with value__viajes__sumHigh correlation
value__viajes_km__min is highly correlated with value__viajes_km__meanHigh correlation
value__viajes_km__mean is highly correlated with value__viajes_km__minHigh correlation
value__viajes_km__std is highly correlated with value__viajes_km__maxHigh correlation
value__viajes_km__max is highly correlated with value__viajes_km__stdHigh correlation
value__viajes_km__sum is highly correlated with value__viajes__sumHigh correlation
Code comunidad autónoma alpha is highly correlated with Code provincia alphaHigh correlation
Code provincia alpha is highly correlated with Code comunidad autónoma alphaHigh correlation
Code provincia alpha is uniformly distributed Uniform
value__ratio_population__viajes__max has unique values Unique
value__ratio_population__viajes__mean has unique values Unique
value__ratio_population__viajes__min has unique values Unique
value__ratio_population__viajes__sum has unique values Unique
value__ratio_population__viajes_km__max has unique values Unique
value__ratio_population__viajes_km__mean has unique values Unique
value__ratio_population__viajes_km__min has unique values Unique
value__ratio_population__viajes_km__sum has unique values Unique
value__viajes__mean has unique values Unique
value__viajes__std has unique values Unique
value__viajes__sum has unique values Unique
value__viajes_km__max has unique values Unique
value__viajes_km__mean has unique values Unique
value__viajes_km__min has unique values Unique
value__viajes_km__std has unique values Unique
value__viajes_km__sum has unique values Unique

Reproduction

Analysis started2021-07-17 17:58:33.799447
Analysis finished2021-07-17 17:59:20.207444
Duration46.41 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

fecha
Date

Distinct444
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size360.8 KiB
Minimum2020-02-21 00:00:00
Maximum2021-05-09 00:00:00
2021-07-17T19:59:20.280453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:59:20.400454image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Code provincia alpha
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct52
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size360.8 KiB
V
 
444
SG
 
444
C
 
444
AB
 
444
CU
 
444
Other values (47)
20868 
ValueCountFrequency (%) 
V4441.9%
 
SG4441.9%
 
C4441.9%
 
AB4441.9%
 
CU4441.9%
 
M4441.9%
 
BA4441.9%
 
LE4441.9%
 
CA4441.9%
 
PM4441.9%
 
ML4441.9%
 
BI4441.9%
 
CR4441.9%
 
SE4441.9%
 
LO4441.9%
 
SO4441.9%
 
CE4441.9%
 
AV4441.9%
 
S4441.9%
 
T4441.9%
 
SA4441.9%
 
A4441.9%
 
VI4441.9%
 
Z4441.9%
 
TF4441.9%
 
Other values (27)1198851.9%
 
2021-07-17T19:59:20.542493image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-07-17T19:59:20.646459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length1.75
Min length1

Overview of Unicode Properties

Unique unicode characters20
Unique unicode categories1 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
A488412.1%
 
C444011.0%
 
S35528.8%
 
O31087.7%
 
L26646.6%
 
U26646.6%
 
B22205.5%
 
G22205.5%
 
M22205.5%
 
V17764.4%
 
E17764.4%
 
T17764.4%
 
I13323.3%
 
R13323.3%
 
P13323.3%
 
H8882.2%
 
Z8882.2%
 
J4441.1%
 
N4441.1%
 
F4441.1%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter40404100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
A488412.1%
 
C444011.0%
 
S35528.8%
 
O31087.7%
 
L26646.6%
 
U26646.6%
 
B22205.5%
 
G22205.5%
 
M22205.5%
 
V17764.4%
 
E17764.4%
 
T17764.4%
 
I13323.3%
 
R13323.3%
 
P13323.3%
 
H8882.2%
 
Z8882.2%
 
J4441.1%
 
N4441.1%
 
F4441.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin40404100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
A488412.1%
 
C444011.0%
 
S35528.8%
 
O31087.7%
 
L26646.6%
 
U26646.6%
 
B22205.5%
 
G22205.5%
 
M22205.5%
 
V17764.4%
 
E17764.4%
 
T17764.4%
 
I13323.3%
 
R13323.3%
 
P13323.3%
 
H8882.2%
 
Z8882.2%
 
J4441.1%
 
N4441.1%
 
F4441.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII40404100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
A488412.1%
 
C444011.0%
 
S35528.8%
 
O31087.7%
 
L26646.6%
 
U26646.6%
 
B22205.5%
 
G22205.5%
 
M22205.5%
 
V17764.4%
 
E17764.4%
 
T17764.4%
 
I13323.3%
 
R13323.3%
 
P13323.3%
 
H8882.2%
 
Z8882.2%
 
J4441.1%
 
N4441.1%
 
F4441.1%
 

value__ratio_population__viajes__max
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1364.288868
Minimum0.517698364
Maximum66768.16004
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:20.755459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.517698364
5-th percentile16.12789662
Q169.05512125
median332.2019029
Q31211.202327
95-th percentile5616.034488
Maximum66768.16004
Range66767.64234
Interquartile range (IQR)1142.147205

Descriptive statistics

Standard deviation3327.796764
Coefficient of variation (CV)2.43921712
Kurtosis59.23180765
Mean1364.288868
Median Absolute Deviation (MAD)297.2090409
Skewness6.34405466
Sum31498701.39
Variance11074231.3
MonotocityNot monotonic
2021-07-17T19:59:20.872493image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3194.564761< 0.1%
 
47.288031421< 0.1%
 
80.420792071< 0.1%
 
58.164207211< 0.1%
 
108.55419011< 0.1%
 
567.70942281< 0.1%
 
3485.678971< 0.1%
 
452.85265531< 0.1%
 
72.538983611< 0.1%
 
427.65261711< 0.1%
 
486.32215371< 0.1%
 
1704.388131< 0.1%
 
348.04575891< 0.1%
 
14.334613751< 0.1%
 
578.78612591< 0.1%
 
122.49541791< 0.1%
 
13.346164861< 0.1%
 
8312.7848011< 0.1%
 
4408.962751< 0.1%
 
653.56591011< 0.1%
 
48.708554351< 0.1%
 
46.806820741< 0.1%
 
1000.1594271< 0.1%
 
34.481619931< 0.1%
 
4405.5084851< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
0.5176983641< 0.1%
 
0.75001055781< 0.1%
 
1.0779219611< 0.1%
 
1.4121986971< 0.1%
 
1.4284855261< 0.1%
 
1.4451245671< 0.1%
 
1.7454513961< 0.1%
 
1.8072900841< 0.1%
 
1.8360880981< 0.1%
 
1.9149301151< 0.1%
 
ValueCountFrequency (%) 
66768.160041< 0.1%
 
56963.915061< 0.1%
 
56882.305641< 0.1%
 
56224.016041< 0.1%
 
56177.642551< 0.1%
 
54316.540051< 0.1%
 
47947.625151< 0.1%
 
45683.122851< 0.1%
 
44131.680661< 0.1%
 
43861.577921< 0.1%
 

value__ratio_population__viajes__mean
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.2951683
Minimum0.4271330584
Maximum21296.92074
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:21.001492image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.4271330584
5-th percentile4.85940469
Q110.88852259
median20.63265703
Q335.67408729
95-th percentile129.0793705
Maximum21296.92074
Range21296.49361
Interquartile range (IQR)24.7855647

Descriptive statistics

Standard deviation1002.03466
Coefficient of variation (CV)5.588743239
Kurtosis90.93272282
Mean179.2951683
Median Absolute Deviation (MAD)11.15997601
Skewness8.492008385
Sum4139566.845
Variance1004073.459
MonotocityNot monotonic
2021-07-17T19:59:21.111459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
33.624982691< 0.1%
 
42.477036321< 0.1%
 
34.921707161< 0.1%
 
65.804357481< 0.1%
 
16.922736911< 0.1%
 
20.410131531< 0.1%
 
25.50727951< 0.1%
 
17.273320451< 0.1%
 
17.286094251< 0.1%
 
45.832494611< 0.1%
 
7.5514509031< 0.1%
 
12.004945441< 0.1%
 
20.451516931< 0.1%
 
16.983970851< 0.1%
 
38.735504281< 0.1%
 
34.164434261< 0.1%
 
14.693997181< 0.1%
 
81.605652781< 0.1%
 
8.6567704771< 0.1%
 
15.23888151< 0.1%
 
18.386591261< 0.1%
 
37.394433691< 0.1%
 
13.12584381< 0.1%
 
5076.0046461< 0.1%
 
21.620654981< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
0.42713305841< 0.1%
 
0.66357955111< 0.1%
 
0.68237936481< 0.1%
 
0.72823654031< 0.1%
 
0.8514932451< 0.1%
 
0.90451321271< 0.1%
 
0.92142379161< 0.1%
 
0.98112055631< 0.1%
 
0.98125384951< 0.1%
 
1.0751739931< 0.1%
 
ValueCountFrequency (%) 
21296.920741< 0.1%
 
19406.116181< 0.1%
 
19085.898521< 0.1%
 
18531.794721< 0.1%
 
17728.175251< 0.1%
 
17335.008851< 0.1%
 
15148.823691< 0.1%
 
14900.209271< 0.1%
 
14799.531731< 0.1%
 
14106.544351< 0.1%
 

value__ratio_population__viajes__min
Real number (ℝ≥0)

UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.13830972
Minimum0.262325212
Maximum508.0567469
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:21.230458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.262325212
5-th percentile2.25427333
Q14.574082948
median9.301550038
Q315.30265117
95-th percentile58.0355311
Maximum508.0567469
Range507.7944217
Interquartile range (IQR)10.72856822

Descriptive statistics

Standard deviation23.80064057
Coefficient of variation (CV)1.572212553
Kurtosis60.39411883
Mean15.13830972
Median Absolute Deviation (MAD)5.205479269
Skewness6.020328652
Sum349513.2949
Variance566.4704917
MonotocityNot monotonic
2021-07-17T19:59:21.355457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7.1944868561< 0.1%
 
1.993244991< 0.1%
 
2.171406231< 0.1%
 
12.494213241< 0.1%
 
5.3380702791< 0.1%
 
2.0574492631< 0.1%
 
23.522556641< 0.1%
 
2.8041543621< 0.1%
 
2.434252681< 0.1%
 
3.8516454461< 0.1%
 
9.2325237241< 0.1%
 
10.111921261< 0.1%
 
14.605571341< 0.1%
 
3.8017007591< 0.1%
 
13.789164331< 0.1%
 
20.805320481< 0.1%
 
4.0530994411< 0.1%
 
8.4706658271< 0.1%
 
7.2520664661< 0.1%
 
6.9726148661< 0.1%
 
2.9435368151< 0.1%
 
4.8454095251< 0.1%
 
40.852267231< 0.1%
 
14.01415811< 0.1%
 
13.975441461< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
0.2623252121< 0.1%
 
0.27728288671< 0.1%
 
0.32936882671< 0.1%
 
0.40788401151< 0.1%
 
0.43098254181< 0.1%
 
0.59132059891< 0.1%
 
0.5968613251< 0.1%
 
0.60333115161< 0.1%
 
0.61427592961< 0.1%
 
0.62484387851< 0.1%
 
ValueCountFrequency (%) 
508.05674691< 0.1%
 
507.90043931< 0.1%
 
466.0711431< 0.1%
 
445.7714681< 0.1%
 
422.17352651< 0.1%
 
399.51237491< 0.1%
 
330.93349111< 0.1%
 
304.42807481< 0.1%
 
303.86638781< 0.1%
 
297.33993721< 0.1%
 

value__ratio_population__viajes__std
Real number (ℝ≥0)

HIGH CORRELATION

Distinct23081
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.7867181
Minimum0
Maximum19049.794
Zeros8
Zeros (%)< 0.1%
Memory size360.8 KiB
2021-07-17T19:59:21.485458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.431740486
Q19.235919828
median20.05374161
Q347.78683292
95-th percentile204.785085
Maximum19049.794
Range19049.794
Interquartile range (IQR)38.55091309

Descriptive statistics

Standard deviation893.6784431
Coefficient of variation (CV)5.142386329
Kurtosis92.00693172
Mean173.7867181
Median Absolute Deviation (MAD)13.67541809
Skewness8.513330946
Sum4012387.747
Variance798661.1596
MonotocityNot monotonic
2021-07-17T19:59:21.597491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08< 0.1%
 
137.13706881< 0.1%
 
121.24869481< 0.1%
 
32.335547481< 0.1%
 
53.443287851< 0.1%
 
5.3843959891< 0.1%
 
21.597105141< 0.1%
 
21.511494951< 0.1%
 
68.543139561< 0.1%
 
12.543154641< 0.1%
 
21.079777741< 0.1%
 
9.8558228131< 0.1%
 
26.239789851< 0.1%
 
14.760145841< 0.1%
 
15.999952691< 0.1%
 
118.12573881< 0.1%
 
76.520537281< 0.1%
 
7.6601050771< 0.1%
 
29.547119791< 0.1%
 
19.076183771< 0.1%
 
9.2374100291< 0.1%
 
8.3476445721< 0.1%
 
262.68037511< 0.1%
 
41.690092791< 0.1%
 
1.9130914261< 0.1%
 
Other values (23056)2305699.9%
 
ValueCountFrequency (%) 
08< 0.1%
 
0.012681034141< 0.1%
 
0.022368278771< 0.1%
 
0.052105813091< 0.1%
 
0.054175170061< 0.1%
 
0.054868029471< 0.1%
 
0.08440996531< 0.1%
 
0.11640342071< 0.1%
 
0.12398415621< 0.1%
 
0.15228906331< 0.1%
 
ValueCountFrequency (%) 
19049.7941< 0.1%
 
16994.119251< 0.1%
 
16679.373891< 0.1%
 
16643.525041< 0.1%
 
16611.940721< 0.1%
 
16318.398671< 0.1%
 
13676.918371< 0.1%
 
13124.450561< 0.1%
 
13042.605731< 0.1%
 
12912.070131< 0.1%
 

value__ratio_population__viajes__sum
Real number (ℝ≥0)

UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81183.52797
Minimum1.488732623
Maximum1741068.422
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:21.722491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1.488732623
5-th percentile436.7590161
Q12486.52033
median25636.88388
Q3103237.178
95-th percentile353219.4354
Maximum1741068.422
Range1741066.933
Interquartile range (IQR)100750.6577

Descriptive statistics

Standard deviation130455.5444
Coefficient of variation (CV)1.606921351
Kurtosis10.80906424
Mean81183.52797
Median Absolute Deviation (MAD)24644.4951
Skewness2.818855583
Sum1874365294
Variance1.701864907e+10
MonotocityNot monotonic
2021-07-17T19:59:21.841493image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
421.98501931< 0.1%
 
16198.009541< 0.1%
 
23786.954731< 0.1%
 
42647.512651< 0.1%
 
5046.2407491< 0.1%
 
212267.4221< 0.1%
 
2814.9191761< 0.1%
 
39989.984341< 0.1%
 
107574.44591< 0.1%
 
8486.9461651< 0.1%
 
92059.453561< 0.1%
 
2862.8335611< 0.1%
 
277956.23141< 0.1%
 
215.4077951< 0.1%
 
51605.912211< 0.1%
 
189544.06881< 0.1%
 
640359.2471< 0.1%
 
87137.27441< 0.1%
 
1290.1961451< 0.1%
 
158297.31051< 0.1%
 
42350.373891< 0.1%
 
18022.323821< 0.1%
 
2024.2887021< 0.1%
 
54210.407531< 0.1%
 
13697.033781< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
1.4887326231< 0.1%
 
2.634250721< 0.1%
 
2.6413474811< 0.1%
 
3.6813088061< 0.1%
 
3.8712442171< 0.1%
 
5.0735139371< 0.1%
 
5.1315118221< 0.1%
 
5.5116587011< 0.1%
 
5.9015908361< 0.1%
 
6.0249873851< 0.1%
 
ValueCountFrequency (%) 
1741068.4221< 0.1%
 
1295126.81< 0.1%
 
1259637.4011< 0.1%
 
1241571.5831< 0.1%
 
1211289.9291< 0.1%
 
1174678.6821< 0.1%
 
1127238.071< 0.1%
 
1123835.4471< 0.1%
 
1085651.5911< 0.1%
 
1062464.2911< 0.1%
 

value__ratio_population__viajes_km__max
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19843.66133
Minimum251.2324109
Maximum210768.3827
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:21.975491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum251.2324109
5-th percentile4157.454063
Q18048.526646
median12807.59523
Q324477.87532
95-th percentile61070.1335
Maximum210768.3827
Range210517.1503
Interquartile range (IQR)16429.34867

Descriptive statistics

Standard deviation19332.04966
Coefficient of variation (CV)0.9742178793
Kurtosis6.325482483
Mean19843.66133
Median Absolute Deviation (MAD)6264.306775
Skewness2.30437456
Sum458150452.8
Variance373728144
MonotocityNot monotonic
2021-07-17T19:59:22.083493image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14394.171221< 0.1%
 
3531.5270971< 0.1%
 
35187.419881< 0.1%
 
25436.96321< 0.1%
 
60512.894321< 0.1%
 
24052.053951< 0.1%
 
11336.389861< 0.1%
 
52394.355721< 0.1%
 
21533.021821< 0.1%
 
16972.26851< 0.1%
 
14414.716781< 0.1%
 
29653.65941< 0.1%
 
59963.94411< 0.1%
 
19976.913391< 0.1%
 
28748.791681< 0.1%
 
87542.715051< 0.1%
 
11242.950521< 0.1%
 
9781.45261< 0.1%
 
15432.954411< 0.1%
 
36121.290071< 0.1%
 
13990.905711< 0.1%
 
10136.74191< 0.1%
 
67377.784211< 0.1%
 
10640.296891< 0.1%
 
14717.444291< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
251.23241091< 0.1%
 
279.80637541< 0.1%
 
405.55655441< 0.1%
 
417.89195151< 0.1%
 
503.55792571< 0.1%
 
617.38170281< 0.1%
 
621.28470411< 0.1%
 
654.89427381< 0.1%
 
791.60149251< 0.1%
 
815.83206221< 0.1%
 
ValueCountFrequency (%) 
210768.38271< 0.1%
 
171127.95671< 0.1%
 
151664.00661< 0.1%
 
148562.76531< 0.1%
 
145713.21041< 0.1%
 
145522.66021< 0.1%
 
143096.0751< 0.1%
 
138477.79741< 0.1%
 
138177.88951< 0.1%
 
138134.25141< 0.1%
 

value__ratio_population__viajes_km__mean
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9673.414568
Minimum97.51407828
Maximum105999.8287
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:22.209458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum97.51407828
5-th percentile1909.824234
Q13473.386941
median5924.485678
Q311190.93467
95-th percentile33102.29669
Maximum105999.8287
Range105902.3146
Interquartile range (IQR)7717.54773

Descriptive statistics

Standard deviation10697.05293
Coefficient of variation (CV)1.105819755
Kurtosis9.606246763
Mean9673.414568
Median Absolute Deviation (MAD)3094.008595
Skewness2.759189792
Sum223339795.6
Variance114426941.4
MonotocityNot monotonic
2021-07-17T19:59:22.331458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2024.0801911< 0.1%
 
4638.1855751< 0.1%
 
76579.565081< 0.1%
 
3601.6895881< 0.1%
 
6153.5247271< 0.1%
 
1794.9236731< 0.1%
 
3682.0695661< 0.1%
 
10113.593941< 0.1%
 
17055.79611< 0.1%
 
1818.0800881< 0.1%
 
14583.502781< 0.1%
 
10055.864221< 0.1%
 
9881.373951< 0.1%
 
53272.158541< 0.1%
 
9283.3826021< 0.1%
 
3508.8777021< 0.1%
 
6091.4592421< 0.1%
 
12515.86071< 0.1%
 
11949.048931< 0.1%
 
3280.5318311< 0.1%
 
2565.3022461< 0.1%
 
4069.9422371< 0.1%
 
9884.3599921< 0.1%
 
18585.410751< 0.1%
 
5181.0208741< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
97.514078281< 0.1%
 
128.17323251< 0.1%
 
204.84108221< 0.1%
 
248.63719011< 0.1%
 
308.15271791< 0.1%
 
317.71339581< 0.1%
 
365.03232561< 0.1%
 
370.72415841< 0.1%
 
374.17073331< 0.1%
 
384.68852731< 0.1%
 
ValueCountFrequency (%) 
105999.82871< 0.1%
 
100332.82461< 0.1%
 
98208.05041< 0.1%
 
98047.16511< 0.1%
 
97993.232381< 0.1%
 
91767.316971< 0.1%
 
91637.513381< 0.1%
 
89159.33691< 0.1%
 
86684.358841< 0.1%
 
86566.399071< 0.1%
 

value__ratio_population__viajes_km__min
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6158.720812
Minimum37.1211223
Maximum91793.73063
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:22.453458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum37.1211223
5-th percentile1113.982161
Q12010.749315
median3633.577
Q36780.866516
95-th percentile22318.49
Maximum91793.73063
Range91756.60951
Interquartile range (IQR)4770.1172

Descriptive statistics

Standard deviation7481.505176
Coefficient of variation (CV)1.214782323
Kurtosis15.09973912
Mean6158.720812
Median Absolute Deviation (MAD)1973.48509
Skewness3.305482968
Sum142192546.1
Variance55972919.69
MonotocityNot monotonic
2021-07-17T19:59:22.569458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2957.2682891< 0.1%
 
3399.2971141< 0.1%
 
1286.4107211< 0.1%
 
3744.5358351< 0.1%
 
3336.3601641< 0.1%
 
1139.0074721< 0.1%
 
2209.7004131< 0.1%
 
1609.6922141< 0.1%
 
12507.215791< 0.1%
 
3012.2617041< 0.1%
 
1078.6216271< 0.1%
 
1141.7283821< 0.1%
 
23317.010651< 0.1%
 
1672.8410881< 0.1%
 
997.72042731< 0.1%
 
1567.0255381< 0.1%
 
1826.3243441< 0.1%
 
2410.4249971< 0.1%
 
1933.3921071< 0.1%
 
27179.732451< 0.1%
 
1553.6166131< 0.1%
 
1323.9489391< 0.1%
 
7675.8998021< 0.1%
 
2986.8976151< 0.1%
 
5749.085151< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
37.12112231< 0.1%
 
81.181587321< 0.1%
 
139.64700881< 0.1%
 
162.79819011< 0.1%
 
206.46180341< 0.1%
 
214.80795291< 0.1%
 
225.46643311< 0.1%
 
250.45252561< 0.1%
 
252.18466591< 0.1%
 
264.17872151< 0.1%
 
ValueCountFrequency (%) 
91793.730631< 0.1%
 
83248.281471< 0.1%
 
79182.986851< 0.1%
 
79116.199791< 0.1%
 
75918.040441< 0.1%
 
74194.079121< 0.1%
 
72245.474151< 0.1%
 
71579.41421< 0.1%
 
69428.111831< 0.1%
 
68380.367971< 0.1%
 

value__ratio_population__viajes_km__std
Real number (ℝ≥0)

HIGH CORRELATION

Distinct23083
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3606.151058
Minimum0
Maximum52573.48909
Zeros6
Zeros (%)< 0.1%
Memory size360.8 KiB
2021-07-17T19:59:22.689458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile683.2365624
Q11388.205545
median2275.520978
Q34300.078736
95-th percentile11813.76817
Maximum52573.48909
Range52573.48909
Interquartile range (IQR)2911.873192

Descriptive statistics

Standard deviation3790.323071
Coefficient of variation (CV)1.05107163
Kurtosis9.849519929
Mean3606.151058
Median Absolute Deviation (MAD)1163.157208
Skewness2.69850785
Sum83258815.62
Variance14366548.99
MonotocityNot monotonic
2021-07-17T19:59:22.812458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06< 0.1%
 
1397.8847321< 0.1%
 
765.6961341< 0.1%
 
1774.1918541< 0.1%
 
852.89149961< 0.1%
 
520.92034681< 0.1%
 
970.35696571< 0.1%
 
5340.2698321< 0.1%
 
6394.3038581< 0.1%
 
3369.232411< 0.1%
 
1841.6466481< 0.1%
 
1123.7445611< 0.1%
 
1122.8076831< 0.1%
 
400.96611721< 0.1%
 
3070.8173451< 0.1%
 
933.52778961< 0.1%
 
979.25991251< 0.1%
 
4429.3594051< 0.1%
 
2391.7931791< 0.1%
 
1333.7134361< 0.1%
 
1317.3328111< 0.1%
 
2658.0225681< 0.1%
 
17541.562681< 0.1%
 
797.52684441< 0.1%
 
3535.5702251< 0.1%
 
Other values (23058)2305899.9%
 
ValueCountFrequency (%) 
06< 0.1%
 
10.782413321< 0.1%
 
14.378393491< 0.1%
 
15.056939071< 0.1%
 
21.415035831< 0.1%
 
26.591360021< 0.1%
 
26.81369371< 0.1%
 
38.353025021< 0.1%
 
46.035172141< 0.1%
 
47.542703691< 0.1%
 
ValueCountFrequency (%) 
52573.489091< 0.1%
 
41284.93041< 0.1%
 
39523.212541< 0.1%
 
33527.327741< 0.1%
 
31478.657241< 0.1%
 
31089.636291< 0.1%
 
30849.906171< 0.1%
 
30480.504391< 0.1%
 
30212.577451< 0.1%
 
29721.351381< 0.1%
 

value__ratio_population__viajes_km__sum
Real number (ℝ≥0)

UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean703818.7086
Minimum671.3030651
Maximum9659129.521
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:22.941458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum671.3030651
5-th percentile60812.52541
Q1180459.1741
median380992.8028
Q3827416.3113
95-th percentile2496711.462
Maximum9659129.521
Range9658458.217
Interquartile range (IQR)646957.1373

Descriptive statistics

Standard deviation882910.6071
Coefficient of variation (CV)1.254457428
Kurtosis9.663095456
Mean703818.7086
Median Absolute Deviation (MAD)248418.1266
Skewness2.736498406
Sum1.624976634e+10
Variance7.795311402e+11
MonotocityNot monotonic
2021-07-17T19:59:23.065458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2241365.9441< 0.1%
 
137698.08681< 0.1%
 
1331446.4931< 0.1%
 
144929.16171< 0.1%
 
197434.45961< 0.1%
 
1953077.5661< 0.1%
 
117760.3791< 0.1%
 
33324.550251< 0.1%
 
70301.770851< 0.1%
 
2418711.5231< 0.1%
 
139440.91441< 0.1%
 
506961.36811< 0.1%
 
201404.90141< 0.1%
 
263907.85581< 0.1%
 
199745.96831< 0.1%
 
931748.53981< 0.1%
 
152886.3351< 0.1%
 
477249.96341< 0.1%
 
1461031.1761< 0.1%
 
382564.54931< 0.1%
 
136435.38121< 0.1%
 
622847.15821< 0.1%
 
440949.14061< 0.1%
 
115190.06161< 0.1%
 
210504.09531< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
671.30306511< 0.1%
 
1167.6005681< 0.1%
 
1378.4446291< 0.1%
 
1409.4378551< 0.1%
 
1924.5128451< 0.1%
 
2129.4513681< 0.1%
 
2171.5362821< 0.1%
 
2408.0834721< 0.1%
 
2670.1136441< 0.1%
 
2698.4097931< 0.1%
 
ValueCountFrequency (%) 
9659129.5211< 0.1%
 
8538714.3431< 0.1%
 
7835450.9371< 0.1%
 
7557298.2981< 0.1%
 
7397556.7021< 0.1%
 
7223785.9081< 0.1%
 
7180366.4541< 0.1%
 
7074788.1091< 0.1%
 
6988350.8421< 0.1%
 
6944098.0471< 0.1%
 

value__viajes__max
Real number (ℝ≥0)

HIGH CORRELATION

Distinct23086
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23536.60517
Minimum1422.049
Maximum305796.364
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:23.193458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1422.049
5-th percentile4363.98575
Q18339.309
median14716.1585
Q325249.74875
95-th percentile67856.4836
Maximum305796.364
Range304374.315
Interquartile range (IQR)16910.43975

Descriptive statistics

Standard deviation32941.8921
Coefficient of variation (CV)1.399602528
Kurtosis22.15502891
Mean23536.60517
Median Absolute Deviation (MAD)7149.7985
Skewness4.352332273
Sum543413140.1
Variance1085168255
MonotocityNot monotonic
2021-07-17T19:59:23.310458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4163.9282< 0.1%
 
27302.5782< 0.1%
 
15081.3941< 0.1%
 
8133.0291< 0.1%
 
6264.8711< 0.1%
 
30690.4451< 0.1%
 
13248.6771< 0.1%
 
17038.1341< 0.1%
 
19523.9651< 0.1%
 
12135.4291< 0.1%
 
9409.9611< 0.1%
 
67860.3631< 0.1%
 
20390.0651< 0.1%
 
16017.8671< 0.1%
 
4438.2371< 0.1%
 
24873.4191< 0.1%
 
14708.7961< 0.1%
 
76953.5551< 0.1%
 
17450.9121< 0.1%
 
19571.7421< 0.1%
 
35086.011< 0.1%
 
6623.61< 0.1%
 
14213.61< 0.1%
 
6069.9331< 0.1%
 
9830.7981< 0.1%
 
Other values (23061)2306199.9%
 
ValueCountFrequency (%) 
1422.0491< 0.1%
 
1459.8161< 0.1%
 
1510.1971< 0.1%
 
1533.3051< 0.1%
 
1555.2671< 0.1%
 
1560.6311< 0.1%
 
1572.9181< 0.1%
 
1599.5161< 0.1%
 
1612.6881< 0.1%
 
1713.8951< 0.1%
 
ValueCountFrequency (%) 
305796.3641< 0.1%
 
298592.0671< 0.1%
 
297549.241< 0.1%
 
297311.7121< 0.1%
 
295414.5111< 0.1%
 
292915.1041< 0.1%
 
292334.0771< 0.1%
 
290066.6091< 0.1%
 
288601.0321< 0.1%
 
285152.6951< 0.1%
 

value__viajes__mean
Real number (ℝ≥0)

UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean616.5052399
Minimum112.1764636
Maximum5032.552092
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:23.436458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum112.1764636
5-th percentile328.5021088
Q1445.3607034
median503.5633305
Q3582.0377873
95-th percentile811.4200194
Maximum5032.552092
Range4920.375629
Interquartile range (IQR)136.6770839

Descriptive statistics

Standard deviation576.8790577
Coefficient of variation (CV)0.9357245005
Kurtosis24.54045005
Mean616.5052399
Median Absolute Deviation (MAD)66.5736058
Skewness4.935944674
Sum14233872.98
Variance332789.4472
MonotocityNot monotonic
2021-07-17T19:59:23.560458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
426.57959191< 0.1%
 
505.41012081< 0.1%
 
317.20922831< 0.1%
 
528.16977371< 0.1%
 
499.53152561< 0.1%
 
365.70488871< 0.1%
 
3789.5460271< 0.1%
 
511.99907321< 0.1%
 
447.09743541< 0.1%
 
588.890021< 0.1%
 
3285.8372941< 0.1%
 
461.77836221< 0.1%
 
534.44979761< 0.1%
 
511.89057071< 0.1%
 
600.84263991< 0.1%
 
443.32270081< 0.1%
 
503.47120391< 0.1%
 
414.59742791< 0.1%
 
611.24158281< 0.1%
 
491.0206511< 0.1%
 
653.60783761< 0.1%
 
368.29118891< 0.1%
 
323.02405151< 0.1%
 
604.96106051< 0.1%
 
448.92796431< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
112.17646361< 0.1%
 
113.91075641< 0.1%
 
114.86383461< 0.1%
 
116.1251921< 0.1%
 
117.98167241< 0.1%
 
118.10146131< 0.1%
 
118.7169121< 0.1%
 
119.0318921< 0.1%
 
119.13351711< 0.1%
 
119.90315891< 0.1%
 
ValueCountFrequency (%) 
5032.5520921< 0.1%
 
4894.6232221< 0.1%
 
4758.6056621< 0.1%
 
4745.3863061< 0.1%
 
4740.5778311< 0.1%
 
4739.8753241< 0.1%
 
4696.3814391< 0.1%
 
4678.7634291< 0.1%
 
4677.8577181< 0.1%
 
4672.187311< 0.1%
 

value__viajes__min
Real number (ℝ≥0)

Distinct22741
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.7170947
Minimum3.65
Maximum630.463
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:23.684492image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum3.65
5-th percentile110.6273
Q1187.72475
median214.643
Q3241.8335
95-th percentile288.94925
Maximum630.463
Range626.813
Interquartile range (IQR)54.10875

Descriptive statistics

Standard deviation54.34453116
Coefficient of variation (CV)0.2566846633
Kurtosis3.178100281
Mean211.7170947
Median Absolute Deviation (MAD)27.0485
Skewness-0.4421287199
Sum4888124.282
Variance2953.328067
MonotocityNot monotonic
2021-07-17T19:59:23.799458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
162.0723< 0.1%
 
263.9433< 0.1%
 
202.0533< 0.1%
 
226.7383< 0.1%
 
173.362< 0.1%
 
206.242< 0.1%
 
191.1362< 0.1%
 
191.8662< 0.1%
 
229.0882< 0.1%
 
185.6262< 0.1%
 
234.5962< 0.1%
 
201.7772< 0.1%
 
228.092< 0.1%
 
186.1512< 0.1%
 
255.5162< 0.1%
 
188.9572< 0.1%
 
268.5782< 0.1%
 
235.4552< 0.1%
 
198.6562< 0.1%
 
229.9862< 0.1%
 
213.5322< 0.1%
 
219.8622< 0.1%
 
154.4682< 0.1%
 
229.9822< 0.1%
 
210.6052< 0.1%
 
Other values (22716)2303499.8%
 
ValueCountFrequency (%) 
3.651< 0.1%
 
4.9381< 0.1%
 
5.2921< 0.1%
 
5.8171< 0.1%
 
5.8921< 0.1%
 
6.3961< 0.1%
 
9.3541< 0.1%
 
10.4311< 0.1%
 
10.8861< 0.1%
 
11.0941< 0.1%
 
ValueCountFrequency (%) 
630.4631< 0.1%
 
581.0371< 0.1%
 
575.8271< 0.1%
 
573.2991< 0.1%
 
548.2711< 0.1%
 
530.8091< 0.1%
 
521.7421< 0.1%
 
521.6321< 0.1%
 
515.9951< 0.1%
 
512.3911< 0.1%
 

value__viajes__std
Real number (ℝ≥0)

UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean899.2144401
Minimum169.3503873
Maximum4922.876846
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:23.920457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum169.3503873
5-th percentile337.2072976
Q1477.9069959
median662.8805262
Q31069.50054
95-th percentile2473.823962
Maximum4922.876846
Range4753.526458
Interquartile range (IQR)591.593544

Descriptive statistics

Standard deviation687.8631852
Coefficient of variation (CV)0.7649601191
Kurtosis6.003693918
Mean899.2144401
Median Absolute Deviation (MAD)234.4054024
Skewness2.359739286
Sum20761062.99
Variance473155.7616
MonotocityNot monotonic
2021-07-17T19:59:24.042458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
784.20968521< 0.1%
 
466.02336711< 0.1%
 
855.48348021< 0.1%
 
1335.997231< 0.1%
 
446.49462451< 0.1%
 
2845.3538691< 0.1%
 
716.14303581< 0.1%
 
857.87793261< 0.1%
 
397.1704621< 0.1%
 
997.22343541< 0.1%
 
607.64585911< 0.1%
 
624.53400831< 0.1%
 
528.66673561< 0.1%
 
1109.7344351< 0.1%
 
468.16663111< 0.1%
 
3546.2286031< 0.1%
 
611.29418271< 0.1%
 
455.62011681< 0.1%
 
556.18887021< 0.1%
 
3252.1246181< 0.1%
 
1124.4951631< 0.1%
 
512.7711071< 0.1%
 
1527.7971481< 0.1%
 
1199.8678081< 0.1%
 
711.97850231< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
169.35038731< 0.1%
 
172.82331111< 0.1%
 
174.331651< 0.1%
 
177.23205861< 0.1%
 
186.0002891< 0.1%
 
193.77477431< 0.1%
 
193.81259191< 0.1%
 
196.00250781< 0.1%
 
196.00392671< 0.1%
 
196.41107891< 0.1%
 
ValueCountFrequency (%) 
4922.8768461< 0.1%
 
4854.9719391< 0.1%
 
4854.3066721< 0.1%
 
4768.2596491< 0.1%
 
4767.2501891< 0.1%
 
4745.3172821< 0.1%
 
4733.1071251< 0.1%
 
4725.9086791< 0.1%
 
4640.3742241< 0.1%
 
4602.4628981< 0.1%
 

value__viajes__sum
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1987162.583
Minimum59760.141
Maximum21627701.74
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:24.169458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum59760.141
5-th percentile206331.2363
Q1598110.9767
median1214012.098
Q32392058.764
95-th percentile5705376.296
Maximum21627701.74
Range21567941.6
Interquartile range (IQR)1793947.787

Descriptive statistics

Standard deviation2644432.199
Coefficient of variation (CV)1.330757846
Kurtosis15.07151416
Mean1987162.583
Median Absolute Deviation (MAD)741849.467
Skewness3.602218735
Sum4.587960972e+10
Variance6.993021657e+12
MonotocityNot monotonic
2021-07-17T19:59:24.283458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
676170.2981< 0.1%
 
879674.8761< 0.1%
 
1833316.421< 0.1%
 
1363504.2451< 0.1%
 
4063595.5841< 0.1%
 
271682.8181< 0.1%
 
917415.1711< 0.1%
 
1310833.661< 0.1%
 
4604776.2521< 0.1%
 
800827.4141< 0.1%
 
157333.0371< 0.1%
 
1375499.1421< 0.1%
 
167343.8161< 0.1%
 
4078069.0191< 0.1%
 
2828253.8631< 0.1%
 
335344.0741< 0.1%
 
1389544.2371< 0.1%
 
594837.4291< 0.1%
 
1758265.5661< 0.1%
 
855997.0041< 0.1%
 
760195.5591< 0.1%
 
1877850.2061< 0.1%
 
130258.111< 0.1%
 
760164.9331< 0.1%
 
2072248.1041< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
59760.1411< 0.1%
 
60592.8181< 0.1%
 
62912.3291< 0.1%
 
63838.4031< 0.1%
 
64676.8711< 0.1%
 
65679.0321< 0.1%
 
65738.5521< 0.1%
 
65879.3971< 0.1%
 
67781.9331< 0.1%
 
68113.0951< 0.1%
 
ValueCountFrequency (%) 
21627701.741< 0.1%
 
21502915.661< 0.1%
 
21446131.691< 0.1%
 
21193879.021< 0.1%
 
21047894.121< 0.1%
 
20976868.241< 0.1%
 
20898653.771< 0.1%
 
20871774.21< 0.1%
 
20816438.261< 0.1%
 
20344792.291< 0.1%
 

value__viajes_km__max
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380097.4788
Minimum5169.582
Maximum3902071.404
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:24.411458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum5169.582
5-th percentile100301.9995
Q1239734.254
median329345.6075
Q3444219.04
95-th percentile799441.6644
Maximum3902071.404
Range3896901.822
Interquartile range (IQR)204484.786

Descriptive statistics

Standard deviation261014.9515
Coefficient of variation (CV)0.6867052955
Kurtosis20.68524585
Mean380097.4788
Median Absolute Deviation (MAD)100140.8485
Skewness3.333911225
Sum8775690591
Variance6.812880491e+10
MonotocityNot monotonic
2021-07-17T19:59:24.533459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
132974.1491< 0.1%
 
564164.1241< 0.1%
 
360270.0231< 0.1%
 
331755.6481< 0.1%
 
295769.1921< 0.1%
 
100506.6011< 0.1%
 
348593.1831< 0.1%
 
369566.2671< 0.1%
 
367475.5521< 0.1%
 
381806.3951< 0.1%
 
415620.4871< 0.1%
 
321227.6311< 0.1%
 
283007.0581< 0.1%
 
378783.0381< 0.1%
 
403861.551< 0.1%
 
653037.9171< 0.1%
 
288456.421< 0.1%
 
300225.7371< 0.1%
 
264133.6731< 0.1%
 
220225.3511< 0.1%
 
250375.6551< 0.1%
 
311608.9471< 0.1%
 
317465.7521< 0.1%
 
261789.9971< 0.1%
 
1087736.4231< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
5169.5821< 0.1%
 
5317.391< 0.1%
 
6199.6741< 0.1%
 
6791.4951< 0.1%
 
6792.2711< 0.1%
 
6815.5721< 0.1%
 
6980.2391< 0.1%
 
7061.0741< 0.1%
 
7531.1051< 0.1%
 
8112.5571< 0.1%
 
ValueCountFrequency (%) 
3902071.4041< 0.1%
 
3716621.5421< 0.1%
 
3626420.8591< 0.1%
 
3619351.811< 0.1%
 
3531136.6651< 0.1%
 
3303997.7331< 0.1%
 
3285717.3011< 0.1%
 
3281252.6361< 0.1%
 
3203048.941< 0.1%
 
3196979.6441< 0.1%
 

value__viajes_km__mean
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167188.9716
Minimum1670.992138
Maximum842971.0453
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:24.667993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1670.992138
5-th percentile57686.45937
Q1127140.9388
median160920.0855
Q3201027.1803
95-th percentile267672.7958
Maximum842971.0453
Range841300.0532
Interquartile range (IQR)73886.24156

Descriptive statistics

Standard deviation74058.49975
Coefficient of variation (CV)0.4429628286
Kurtosis9.747210136
Mean167188.9716
Median Absolute Deviation (MAD)36755.57399
Skewness1.880472505
Sum3860058975
Variance5484661385
MonotocityNot monotonic
2021-07-17T19:59:24.780993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
174724.41271< 0.1%
 
182010.92011< 0.1%
 
182404.63491< 0.1%
 
143730.76561< 0.1%
 
217177.95661< 0.1%
 
209147.73321< 0.1%
 
234945.23691< 0.1%
 
153779.91071< 0.1%
 
187455.34821< 0.1%
 
114692.76231< 0.1%
 
162226.40681< 0.1%
 
248060.79871< 0.1%
 
163467.95631< 0.1%
 
179539.48671< 0.1%
 
216505.94191< 0.1%
 
392511.13691< 0.1%
 
225971.13771< 0.1%
 
83827.073831< 0.1%
 
150004.54411< 0.1%
 
149835.05231< 0.1%
 
247370.50821< 0.1%
 
153916.49121< 0.1%
 
165389.23441< 0.1%
 
201931.12021< 0.1%
 
165742.75091< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
1670.9921381< 0.1%
 
1813.2514771< 0.1%
 
1983.4596281< 0.1%
 
2330.4276351< 0.1%
 
2614.9848141< 0.1%
 
2642.9848961< 0.1%
 
2844.3415711< 0.1%
 
2857.0039321< 0.1%
 
2927.1569941< 0.1%
 
2929.5096391< 0.1%
 
ValueCountFrequency (%) 
842971.04531< 0.1%
 
775652.13861< 0.1%
 
770697.42631< 0.1%
 
753494.24731< 0.1%
 
743577.24221< 0.1%
 
731528.32851< 0.1%
 
728119.5591< 0.1%
 
718887.04981< 0.1%
 
711218.74431< 0.1%
 
696141.81011< 0.1%
 

value__viajes_km__min
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104831.2822
Minimum59.709
Maximum623568.325
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:24.901994image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum59.709
5-th percentile42238.378
Q177433.1615
median98749.0865
Q3123819.9455
95-th percentile170225.4055
Maximum623568.325
Range623508.616
Interquartile range (IQR)46386.784

Descriptive statistics

Standard deviation51987.3295
Coefficient of variation (CV)0.4959142767
Kurtosis15.42629044
Mean104831.2822
Median Absolute Deviation (MAD)22890.473
Skewness2.812894888
Sum2420344644
Variance2702682429
MonotocityNot monotonic
2021-07-17T19:59:25.020027image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
127541.9721< 0.1%
 
155916.2711< 0.1%
 
73203.9381< 0.1%
 
83817.0431< 0.1%
 
83021.3841< 0.1%
 
155001.0731< 0.1%
 
68852.6581< 0.1%
 
69685.4531< 0.1%
 
72685.1711< 0.1%
 
65639.981< 0.1%
 
66723.7711< 0.1%
 
101434.6991< 0.1%
 
100597.8461< 0.1%
 
59.7091< 0.1%
 
107267.9541< 0.1%
 
69972.5791< 0.1%
 
85616.2841< 0.1%
 
106290.7811< 0.1%
 
127365.6041< 0.1%
 
128333.3811< 0.1%
 
73497.2491< 0.1%
 
138194.7051< 0.1%
 
116280.251< 0.1%
 
66052.181< 0.1%
 
119693.6251< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
59.7091< 0.1%
 
67.2961< 0.1%
 
213.6161< 0.1%
 
257.281< 0.1%
 
264.621< 0.1%
 
334.3681< 0.1%
 
354.6351< 0.1%
 
368.6091< 0.1%
 
371.7981< 0.1%
 
414.881< 0.1%
 
ValueCountFrequency (%) 
623568.3251< 0.1%
 
609211.5271< 0.1%
 
570085.4921< 0.1%
 
564191.7591< 0.1%
 
549501.0211< 0.1%
 
539575.6091< 0.1%
 
532972.8661< 0.1%
 
530515.0521< 0.1%
 
529006.0811< 0.1%
 
528190.4951< 0.1%
 

value__viajes_km__std
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64963.19074
Minimum1166.12041
Maximum343714.6075
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:25.149780image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1166.12041
5-th percentile15151.35573
Q142563.71371
median59862.6891
Q380867.2088
95-th percentile131190.7995
Maximum343714.6075
Range342548.4871
Interquartile range (IQR)38303.49509

Descriptive statistics

Standard deviation35312.14959
Coefficient of variation (CV)0.5435716625
Kurtosis3.599410799
Mean64963.19074
Median Absolute Deviation (MAD)18701.62665
Skewness1.306750778
Sum1499870148
Variance1246947909
MonotocityNot monotonic
2021-07-17T19:59:25.260812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
63575.823221< 0.1%
 
52846.939491< 0.1%
 
91148.515781< 0.1%
 
28895.553811< 0.1%
 
116778.361< 0.1%
 
66298.192221< 0.1%
 
77241.481361< 0.1%
 
115592.15811< 0.1%
 
53171.713531< 0.1%
 
78285.938561< 0.1%
 
91300.551921< 0.1%
 
61033.710871< 0.1%
 
38369.252251< 0.1%
 
51443.651461< 0.1%
 
43718.517691< 0.1%
 
15196.092611< 0.1%
 
30407.564921< 0.1%
 
67137.565741< 0.1%
 
7896.3705861< 0.1%
 
48584.02131< 0.1%
 
77604.414371< 0.1%
 
27929.041281< 0.1%
 
120698.35431< 0.1%
 
15543.717151< 0.1%
 
56204.037721< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
1166.120411< 0.1%
 
1227.5676591< 0.1%
 
1232.5967321< 0.1%
 
1241.8518361< 0.1%
 
1339.545271< 0.1%
 
1544.0246061< 0.1%
 
1573.708321< 0.1%
 
1691.4048181< 0.1%
 
1752.5924381< 0.1%
 
1768.4052921< 0.1%
 
ValueCountFrequency (%) 
343714.60751< 0.1%
 
330949.01671< 0.1%
 
330911.29221< 0.1%
 
326695.88761< 0.1%
 
300454.92061< 0.1%
 
300246.12021< 0.1%
 
297529.54671< 0.1%
 
288215.24981< 0.1%
 
283702.12271< 0.1%
 
283520.3131< 0.1%
 

value__viajes_km__sum
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct23088
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17633409.35
Minimum126863.275
Maximum206996905
Zeros0
Zeros (%)0.0%
Memory size360.8 KiB
2021-07-17T19:59:25.387812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum126863.275
5-th percentile1823601.425
Q16743181.868
median12206258.63
Q320867295.99
95-th percentile48123547.78
Maximum206996905
Range206870041.7
Interquartile range (IQR)14124114.12

Descriptive statistics

Standard deviation20655286.84
Coefficient of variation (CV)1.171372276
Kurtosis17.56684583
Mean17633409.35
Median Absolute Deviation (MAD)6547990.791
Skewness3.705474767
Sum4.071201551e+11
Variance4.266408746e+14
MonotocityNot monotonic
2021-07-17T19:59:25.501779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
520549.0151< 0.1%
 
130657343.31< 0.1%
 
159614061< 0.1%
 
10287225.81< 0.1%
 
3849619.7871< 0.1%
 
2243916.9561< 0.1%
 
48477950.981< 0.1%
 
96813945.751< 0.1%
 
34067890.271< 0.1%
 
19789209.551< 0.1%
 
7163807.6661< 0.1%
 
1890636.4571< 0.1%
 
26349967.771< 0.1%
 
2645019.4611< 0.1%
 
10411771.291< 0.1%
 
17402746.571< 0.1%
 
4671830.8031< 0.1%
 
24023199.931< 0.1%
 
23557422.21< 0.1%
 
17269862.181< 0.1%
 
142863665.21< 0.1%
 
10580695.61< 0.1%
 
5572642.6321< 0.1%
 
3436317.4391< 0.1%
 
15284709.531< 0.1%
 
Other values (23063)2306399.9%
 
ValueCountFrequency (%) 
126863.2751< 0.1%
 
130581.8181< 0.1%
 
139372.7371< 0.1%
 
144577.991< 0.1%
 
147590.0531< 0.1%
 
148010.8231< 0.1%
 
154527.4461< 0.1%
 
159960.3621< 0.1%
 
160069.0471< 0.1%
 
163356.551< 0.1%
 
ValueCountFrequency (%) 
2069969051< 0.1%
 
203791583.61< 0.1%
 
201414064.21< 0.1%
 
197197102.91< 0.1%
 
196265815.41< 0.1%
 
195861710.51< 0.1%
 
194964316.91< 0.1%
 
192833748.41< 0.1%
 
188480363.41< 0.1%
 
187609886.41< 0.1%
 

Code comunidad autónoma alpha
Categorical

HIGH CORRELATION

Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size360.8 KiB
CL
3996 
AN
3552 
CM
2220 
GA
1776 
CT
1776 
Other values (14)
9768 
ValueCountFrequency (%) 
CL399617.3%
 
AN355215.4%
 
CM22209.6%
 
GA17767.7%
 
CT17767.7%
 
PV13325.8%
 
VC13325.8%
 
AR13325.8%
 
CN8883.8%
 
EX8883.8%
 
IB4441.9%
 
MC4441.9%
 
MD4441.9%
 
RI4441.9%
 
NC4441.9%
 
ML4441.9%
 
CB4441.9%
 
AS4441.9%
 
CE4441.9%
 
2021-07-17T19:59:25.616783image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-07-17T19:59:25.701808image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

Overview of Unicode Properties

Unique unicode characters16
Unique unicode categories1 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
C1198826.0%
 
A710415.4%
 
N488410.6%
 
L44409.6%
 
M35527.7%
 
V26645.8%
 
T17763.8%
 
G17763.8%
 
R17763.8%
 
E13322.9%
 
P13322.9%
 
X8881.9%
 
I8881.9%
 
B8881.9%
 
D4441.0%
 
S4441.0%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter46176100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
C1198826.0%
 
A710415.4%
 
N488410.6%
 
L44409.6%
 
M35527.7%
 
V26645.8%
 
T17763.8%
 
G17763.8%
 
R17763.8%
 
E13322.9%
 
P13322.9%
 
X8881.9%
 
I8881.9%
 
B8881.9%
 
D4441.0%
 
S4441.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin46176100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
C1198826.0%
 
A710415.4%
 
N488410.6%
 
L44409.6%
 
M35527.7%
 
V26645.8%
 
T17763.8%
 
G17763.8%
 
R17763.8%
 
E13322.9%
 
P13322.9%
 
X8881.9%
 
I8881.9%
 
B8881.9%
 
D4441.0%
 
S4441.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII46176100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
C1198826.0%
 
A710415.4%
 
N488410.6%
 
L44409.6%
 
M35527.7%
 
V26645.8%
 
T17763.8%
 
G17763.8%
 
R17763.8%
 
E13322.9%
 
P13322.9%
 
X8881.9%
 
I8881.9%
 
B8881.9%
 
D4441.0%
 
S4441.0%
 

Interactions

2021-07-17T19:58:36.274416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:58:36.393418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2021-07-17T19:58:40.084416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2021-07-17T19:59:18.987450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:59:19.080451image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:59:19.177416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:59:19.276454image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Correlations

2021-07-17T19:59:25.803813image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-07-17T19:59:26.072810image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-07-17T19:59:26.343779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-07-17T19:59:26.619779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-07-17T19:59:26.859779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-07-17T19:59:19.535452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-07-17T19:59:19.992454image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Sample

First rows

fechaCode provincia alphavalue__ratio_population__viajes__maxvalue__ratio_population__viajes__meanvalue__ratio_population__viajes__minvalue__ratio_population__viajes__stdvalue__ratio_population__viajes__sumvalue__ratio_population__viajes_km__maxvalue__ratio_population__viajes_km__meanvalue__ratio_population__viajes_km__minvalue__ratio_population__viajes_km__stdvalue__ratio_population__viajes_km__sumvalue__viajes__maxvalue__viajes__meanvalue__viajes__minvalue__viajes__stdvalue__viajes__sumvalue__viajes_km__maxvalue__viajes_km__meanvalue__viajes_km__minvalue__viajes_km__stdvalue__viajes_km__sumCode comunidad autónoma alpha
02020-02-21A72.24659328.45771813.67890214.7199331431.17995620160.2056679751.1123205282.0597414850.9422871.958100e+0530715.013555.476539169.328993.8478915409293.873655548.515205040.43933191800.621105764.8024345.160721e+07VC
12020-02-22A1135.36804632.70221813.70444247.832717127726.43465718494.0227169783.4620626324.2797783627.7714961.011822e+0629158.777547.661405186.826914.0099994581784.990587747.575212121.284800103247.994103386.0202704.129333e+07VC
22020-02-23A1822.83924440.22720514.65309972.703165138266.51875623655.84880711151.8858857531.7335923922.8957898.998706e+0522870.719543.662091197.584791.7532044007471.177609931.446200503.120139102611.21094932.0203284.162477e+07VC
32020-02-24A1246.26258339.13289314.77592655.066991116884.36257720201.6054569349.7934395783.0172653502.6545311.034939e+0630381.058549.344024183.515978.3828955225319.251589333.045207361.77231595304.226106231.1304114.499906e+07VC
42020-02-25A2663.64721137.02085413.45743778.563038215049.30914821918.8099699065.4027315532.1611423786.4359791.256890e+0630994.912543.057886178.891978.0929635332913.202552745.207207020.22253298184.30997073.7575404.483369e+07VC
52020-02-26A1319.67826140.74849412.516236106.14847142171.84845919510.1706609238.3068835793.5041743674.7622504.061795e+0531713.246527.761024188.171977.4178445397675.970494295.134189221.36251699715.26383610.9679404.507536e+07VC
62020-02-27A977.36334029.26214813.63033736.91491780696.76473516846.6080159172.4927506202.7063763067.0373945.716031e+0531415.975518.962281148.649985.0495065417521.194570277.961188696.82935477694.05093975.7402515.027304e+07VC
72020-02-28A2576.20864354.42113013.782100189.75508873649.81333021190.8563198939.5281885547.4765563613.7657375.155956e+0533022.705541.091239179.9111001.2543685565279.264679744.063199041.83572399407.41996270.0155135.607166e+07VC
82020-02-29A76.82951027.86886613.79926312.5452782700.50146015571.0724168697.2665705599.6629852898.8842391.847344e+0528068.805537.344906194.128889.5662094709064.937564103.706204726.733357104686.77493124.4940134.281576e+07VC
92020-03-01A3421.26609052.96640814.360049162.380738212395.85565525777.53487111046.5388665900.0717785552.3158431.030163e+0623857.768537.945473203.937793.0524334062549.435614169.912212106.695320108254.747101701.9735854.017544e+07VC

Last rows

fechaCode provincia alphavalue__ratio_population__viajes__maxvalue__ratio_population__viajes__meanvalue__ratio_population__viajes__minvalue__ratio_population__viajes__stdvalue__ratio_population__viajes__sumvalue__ratio_population__viajes_km__maxvalue__ratio_population__viajes_km__meanvalue__ratio_population__viajes_km__minvalue__ratio_population__viajes_km__stdvalue__ratio_population__viajes_km__sumvalue__viajes__maxvalue__viajes__meanvalue__viajes__minvalue__viajes__stdvalue__viajes__sumvalue__viajes_km__maxvalue__viajes_km__meanvalue__viajes_km__minvalue__viajes_km__stdvalue__viajes_km__sumCode comunidad autónoma alpha
230782021-04-30ZA5661.76038768.13511124.827798210.466010516495.30034045559.54661820400.95019714230.9701007127.9836313.771410e+068664.7100512.578607207.4530560.534814416070.0170298326.6970144416.62139885176.513059793.7190326.982757e+06CL
230792021-05-01ZA4101.56744458.86910922.465662156.054466386419.00927042662.26580118938.57410612611.8901776975.7828873.047940e+067307.1445502.983748240.4255475.783295358226.5345270862.9600148361.20046097747.758550345.3005825.888322e+06CL
230802021-05-02ZA2541.37450149.60310820.103525101.642921256342.71819939764.98498517476.19801410992.8102546823.5821432.324469e+065949.5790493.388889273.3980391.031776300383.0520243399.2230152305.779523110319.004040896.8821334.793887e+06CL
230812021-05-03ZA131.87096345.74587323.30443222.5853533819.10620439322.96809617549.73805510073.1686497496.3810598.974753e+057932.6580570.324646281.6310531.517776390313.8720325595.9580182565.380612124441.375061879.1290856.023768e+06CL
230822021-05-04ZA2953.98368155.15498322.018488118.243099275891.74827443369.20394118922.82716711271.6666717458.5053832.251416e+067796.1350494.423464204.3890519.840751394093.5200278886.3970133414.65526075577.225054311.9815136.429004e+06CL
230832021-05-05ZA131.26587244.00608224.54977920.2356254711.86858939342.86957720039.31846614003.6648966301.8701415.356342e+057618.7730493.087270210.9510515.211836401361.8550261195.2140126071.20150172247.244052313.4190816.452139e+06CL
230842021-05-06ZA6730.09818975.03213225.833241239.261708699699.57187050219.83213618956.87780312096.9331137939.2127835.740864e+068013.5270565.851779263.4470540.571607405941.4740320816.5360165858.237222100606.445064336.2447496.765490e+06CL
230852021-05-07ZA2241.48558752.56264724.39280986.866176227780.70586435770.35968720306.54444214094.2968436316.3931602.018222e+067641.0440529.307729217.9780553.410056422678.6140291157.5410142896.09143179776.714061440.5191687.134657e+06CL
230862021-05-08ZA1164.85798946.34825323.89333752.561131114782.93718338005.36169421276.75774414023.0339587705.5561881.254082e+066234.5890506.073177237.5695460.527785345504.3150262998.2005137693.44538783942.605053553.4248135.779081e+06CL
230872021-05-09ZA88.23039240.13385923.39386418.2560861785.16850140240.36370122246.97104713951.7710749094.7192164.899425e+054828.1340482.838626257.1610367.645513268330.0160234838.8600132490.79934488108.496045666.3304584.423505e+06CL